Senior Full-Stack Engineer - GenAI

We’re a cybersecurity company building a next-generation AI-driven operations platform, designed to power complex, high-stakes workflows. The product integrates generative AI deeply into real-time operational environments—combining reasoning, retrieval, and automation into scalable, trustworthy systems.

We’re looking for a Senior Full-Stack Engineer with strong backend and AI experience who can architect, build, and scale secure, performant systems—while also bringing solid frontend skills to deliver intuitive user-facing features. You’ll work closely with product, AI/ML, and design teams to deliver capabilities that drive investigation speed, streamline operations, and unlock new modes of human-AI collaboration.

KEY RESPONSIBILITIES

Development

• End-to-end ownership of complex system features: from backend services and API design to user-facing interactions.
• Architect and implement scalable backend systems for high-volume, real-time operational workloads.
• Integrate LLMs and GenAI components into production workflows, including fine-tuning, prompt orchestration, retrieval pipelines, and evaluation loops.
• Design and implement robust data flows (e.g., event streams, message queues, job orchestration) to support next-gen SOC/NOC capabilities.
• Build resilient real-time user experiences (e.g., dashboards, streaming data visualization, multi-user collaboration).
• Define clear contracts between AI services, backend APIs, and frontend clients.
• Contribute to trustworthy AI delivery: streaming responses with structured outputs, redaction/guardrails, and human-in-the-loop review.

Collaboration

• Partner with AI/ML engineers to productionize models, optimize inference pipelines, and collect feedback signals for iterative improvement.
• Collaborate with design and frontend engineers to translate complex backend/AI systems into intuitive UIs.
• Lead technical reviews, and help shape coding standards and architectural patterns.
• Communicate clearly with both technical and non-technical stakeholders about trade-offs, performance, and reliability.

REQUIRED QUALIFICATIONS

Experience

• Proven track record shipping data-intensive and AI-enhanced applications at scale.
• Experience owning features from system architecture through production delivery.
• BS: 7+ years in backend or full-stack systems for high-availability, security-sensitive environments OR
• MS: 5+ years in the same OR
• PhD: 3+ year in the same

Technical Skills

Core Backend & Platform (Must Have)

• Proficiency with at least one modern backend runtime/language (e.g., Python, Go) and associated frameworks.
• Strong background in designing APIs (REST/WebSocket/GraphQL) and integrating with real-time/event-driven systems.
• Deep understanding of databases and storage paradigms (e.g., Postgres, graph DBs, time-series stores).
• Experience with authentication/authorization, session management, and enterprise integrations.
• Familiarity with distributed systems, scalability, and observability best practices.

AI/ML Integration (Strongly Desired)

• Hands-on experience building or integrating AI systems in production.
• Familiarity with retrieval-augmented generation (RAG), prompt engineering, evaluation, and guardrails.
• Exposure to model fine-tuning workflows or orchestration frameworks for multi-tool AI agents.

Frontend (Nice-to-Have)

• Solid proficiency with modern JavaScript/TypeScript and a component-based framework (React or equivalent).
• Experience building data-heavy dashboards and visualization for real-time operations.
• Understanding of streaming UX patterns (WebSocket/SSE) and responsive design systems.

Communication & Soft Skills

• Strong problem-solving skills and attention to detail.
• Excellent written and verbal communication.
• Comfortable operating in fast-moving, ambiguous contexts.
• Experience working with distributed teams.

PREFERRED QUALIFICATIONS (BONUS POINTS)

• Experience with event-driven architectures, message queues, and background job orchestration.
• Exposure to graph/time-series data modeling and visualization.
• Knowledge of real-time collaboration systems (presence, concurrency control).
• Familiarity with SOC/NOC operations workflows, incident management, and observability pipelines.
• Contributions to open-source AI/ML tools or backend frameworks.

WHAT WE OFFER

• Opportunity to shape the future of AI-assisted cybersecurity and operations at scale.
• End-to-end ownership of high-impact product surfaces used daily by enterprise customers.
• Collaborative environme